The Characteristics of and Causes to Spatiotemporal Evolution Potamogeton crispus L. Community in Nansi Lake Based on Remote Sensing Data

doi:10.13466/j.cnki.lyzygl.2020.01.010

Abstract

Abstract:

Nansi Lake is the largest lake in Shandong province and one of the largest freshwater lakes in China.In recent years,Nansi Lake has been threatened by the serious flooding of Potamogeton crispus L. From April to May, P.crispus grows vigorously in the lake area,becoming the only dominant species in the submerged plant area.In June, P.crispus declines rapidly,which not only causes severe ecological problems such as water pollution and waterway blocking,but also becomes seasonal threats to the water quality of the South-to-North Water Transfer Project.Based on the characteristics and phenological information shown by the NDVI time-series curves of different typical landscape extracted from MODIS MOD13Q1 16d that are combined with Landsat data,the community of P.crispus in Nansi Lake was extracted and visualized as the distribution maps.The results showed that from the beginning of 21st century,the area of P.crispus in Nansi Lake increased from 25.22 km ² in 1980s to 171.46 km ²in 2018,and that the distribution range of P.crispus had been expanded from the lakeside to the centre of the lake from past 30 years,with the ratio increasing from 3.61% to 24.55%.On inter-annual scales, P.crispus developed from an ordinary dominant species into an absolute dominant species in the lake.Additionally,the Pearson Correlation and the Spearman Rank Correlation Analysis were used to reveal the correlations between the area of P.crispus and lake eutrophication level or water quality.Results revealed that there was no correlation between the area of P.crispus and water quality,but the correlations were significantly positive between the area of P.crispus and the other three related factors.Specifically,the correlation coefficients are higher than 0.8,which means a significantly positive correlation.The current situation of the P.crispus in Nansi Lake ask a higher requirements for the management in Nansi Lake.Departments should strengthen the control of P.crispus in order to prevent further extension in Nansi Lake.

Key words: Nansi Lake, Potamogeton crispus L., NDVI Time-series, phenological information, MODIS, Landsat, remote sensing of environment

CLC Number:

Yinhe JIAO, Quanzhou YU, Enfeng LIU, Chunling LIANG, Xiaofei TIAN, Baohua ZHANG. The Characteristics of and Causes to Spatiotemporal Evolution Potamogeton crispus L. Community in Nansi Lake Based on Remote Sensing Data[J]. FOREST RESOURCES WANAGEMENT, 2020, (1): 70-78.

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年份	传感器	儒略日	行列号
1988	Landsat 5 TM	122/166	36/122
1996	Landsat 5 TM	111/168	36/122
2000	Landsat 5 TM	122/170	36/122
2006	Landsat 5 TM	122/167	36/122
2010	Landsat 5 TM	117	36/122
2010	Landsat 7 ETM+	173	36/122
2013	Landsat 7 ETM+	117/165	36/122
2017	Landsat 8 OIL	120/168	36/122
2018	Landsat 8 OIL	123/171	36/122

年份	菹草面积/km²	占湖区面积比/%	占湿地面积比/%
1988	25.22	3.61	1.98
1996	32.87	4.71	2.58
2000	40.32	5.77	3.16
2006	73.39	10.51	5.75
2010	102.26	14.64	8.02
2013	188.76	27.03	14.80
2017	193.74	27.74	15.19
2018	171.46	24.55	13.44

年份	TP(mg/L)		TN(mg/L)		富营养化程度	水质级别
年份	变化范围	均值	变化范围	均值	富营养化程度	水质级别
1980—1990^[29]	0.01~0.04	0.02	0.4~0.80	0.60	中度营养化	Ⅱ类
1990—2000^[29]	0.04~0.12	0.09	0.66~1.04	0.87	中度营养化	Ⅲ类
2000—2002^[30]	0.15~0.20	0.17	1.80~3.50	1.10	轻度富营养化	劣V类
2005—2008^[29,30,31]	0.22~0.33	0.28	0.9~1.20	1.01	轻度富营养化	Ⅳ类
2010—2013^[32]	0.09~0.20	0.14	0.70~2.40	2.20	中度富营养化	Ⅲ类
2013—2016^[32,33]	0.09~0.70	0.43	1.62~2.17	2.05	中度富营养化	Ⅲ类
2016— ^[32,33]	0.23~0.82	0.75	0.36~2.64	2.44	中度富营养化	Ⅲ类

相关分析项	Pearson相关性分析		Spearman秩相关性分析		相关性
相关分析项	相关系数R	P值	相关系数R	P值	相关性
TP	0.884	0.008	0.893	0.007	显著正相关
TN	0.893	0.007	0.929	0.003	显著正相关
富营养化程度	0.861	0.013	0.945	0.001	显著正相关
水质	-0.205	0.659	0.158	0.736	不相关